The challenge of generative artificial intelligence for future communication professionals: Experiences and usability

IF 6.5 2区 管理学 Q1 COMMUNICATION
Telecommunications Policy Pub Date : 2026-01-01 Epub Date: 2025-10-23 DOI:10.1016/j.telpol.2025.103083
Sonia Blanco , María Sánchez González , Francisco Marcos Martín-Martín , Hada M. Sánchez Gonzales
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引用次数: 0

Abstract

This paper explores the interaction of undergraduates with generative artificial intelligence (genAI) tools applied to journalism, analysing their usability and user perception. Using an experimental approach, a user test was conducted with journalism undergraduates at the University of Malaga, evaluating generative text, image and video tools. Data were collected through questionnaires, recordings and direct observation to assess performance and perceptions. Although the tools showed potential for innovation and usefulness, participants made mistakes, mainly linked to the elaboration of prompts and follow-up of instructions. Pikaso and Gemini stood out in terms of satisfaction, while Visla presented technical challenges. The difficulties identified show deficiencies in digital skills and reading comprehension, highlighting the need for specific training. Similarly, users' limited experience and familiarity with the tools negatively impact their interaction, underlining the relevance of incorporating tutorials and practical guides to facilitate their use and understanding. Incorporating more intuitive tools and strengthening genAI training would contribute to optimising the use of these technologies in journalism, although improving the usability and accessibility of these technologies is key to their integration into the professional sphere.
生成式人工智能对未来通信专业人员的挑战:体验和可用性
本文探讨了大学生与应用于新闻的生成式人工智能(genAI)工具的互动,分析了它们的可用性和用户感知。采用实验方法,对马拉加大学新闻系本科生进行了用户测试,评估生成文本、图像和视频工具。通过问卷调查、录音和直接观察来收集数据,以评估表现和看法。虽然这些工具显示出创新和有用的潜力,但参与者也犯了错误,主要与详细说明提示和后续指示有关。Pikaso和Gemini在满意度方面表现突出,而Visla则提出了技术挑战。所发现的困难显示了数字技能和阅读理解方面的不足,突出了对特定培训的需求。同样,用户有限的经验和对工具的熟悉程度对他们的交互产生了负面影响,强调了合并教程和实用指南以促进他们的使用和理解的相关性。采用更直观的工具和加强基因人工智能培训将有助于在新闻领域最佳地使用这些技术,尽管改进这些技术的可用性和可获得性是将其纳入专业领域的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Telecommunications Policy
Telecommunications Policy 工程技术-电信学
CiteScore
10.80
自引率
12.50%
发文量
122
审稿时长
38 days
期刊介绍: Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.
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